A Ready-to-Use Grading Tool for Facial Palsy Examiners—Automated Grading System in Facial Palsy Patients Made Easy

A Ready-to-Use Grading Tool for Facial Palsy Examiners—Automated Grading System in Facial Palsy Patients Made Easy

Background: The grading process in facial palsy (FP) patients is crucial for time- and cost-effective therapy decision-making. The House-Brackmann scale (HBS) represents the most commonly used classification system in FP diagnostics. This study investigated the benefits of linking machine learning (...

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Bibliographic Details
Main Authors: Leonard Knoedler, Maximilian Miragall, Martin Kauke-Navarro, Doha Obed, Maximilian Bauer, Patrick Tißler, Lukas Prantl, Hans-Guenther Machens, Peter Niclas Broer, Helena Baecher, Adriana C. Panayi, Samuel Knoedler, Andreas Kehrer
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Personalized Medicine
Subjects:
facial palsy
facial paralysis
House-Brackmann scale
artificial intelligence
deep learning
bell’s palsy
Online Access:https://www.mdpi.com/2075-4426/12/10/1739

Internet

https://www.mdpi.com/2075-4426/12/10/1739

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